Hate and Offensive Text Data Detection using NLP Model (IJRPR)

The goal of the current project is to use machine learning (ML) and natural language processing (NLP) techniques to create a system that can automatically identify offensive and hostile statements in text. To determine whether or not the information is damaging, the algorithm will be trained using a dataset containing tagged text, such as comments and posts on social media. The program will detect objectionable language and flag it for moderation by examining the context and meaning of words, so assisting in the reduction of online toxicity. The ultimate objective is to develop an automated program that effectively detects and manages bad speech, helping to maintain safer online environments.

https://ijrpr.com/uploads/V6ISSUE6/IJRPR47723.pdf